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Applied short-term forecasting for the Slovenian natural gas market
被引:0
|作者:
Potocnik, Primoz
[1
]
Govekar, Edvard
[1
]
机构:
[1] Univ Ljubljana, Fac Mech Engn, Ljubljana, Slovenia
来源:
2016 13TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM)
|
2016年
关键词:
Demand forecasting;
Natural gas;
Stepwise regression;
NEURAL-NETWORKS;
CONSUMPTION;
MODEL;
DEMAND;
PREDICTION;
COMBINATION;
TURKEY;
D O I:
暂无
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
Results of applied short-term forecasting for the Slovenian natural gas market are presented. A case study for one of the major Slovenian natural gas distribution companies is considered, with forecasting results in hourly resolution in the forecasting horizon from 1 to 48 hours. The development of a forecasting strategy is presented, which includes daily data acquisition from various sources, development of customized forecasting models, and deployment of a forecasting solution. The forecasting models are based on stepwise regression method in order to design model structures with reliable and robust operation. Forecasting results of several years of online forecasting operation are presented. Obtained accuracy of forecasting results is considered as very successful and beneficially contributes to the managing policy of the distribution company.
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页数:5
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